21 citations · 35 across the 14 of their papers we have counts for
5 papers · 1 filter
Beyond Causal Discovery for Astronomy: Learning Meaningful Representations with Independent Component Analysis
Zehao Jin, Mario Pasquato, Benjamin L. Davis +2
We present the first steps toward applying causal representation learning to astronomy. Following up on previous work that introduced causal discovery to the field for the first ti…
Causal Discovery in Astrophysics: Unraveling Supermassive Black Hole and Galaxy Coevolution
Zehao Jin, Mario Pasquato, Benjamin L. Davis +9
Correlation does not imply causation, but patterns of statistical association between variables can be exploited to infer a causal structure (even with purely observational data) w…
Variable Star Light Curves in Koopman Space
Nicolas Mekhaël, Mario Pasquato, Gaia Carenini +4
We present the first application of data-driven techniques for dynamical system analysis based on Koopman theory to variable stars. We focus on light curves of RRLyrae type variabl…
Quantitatively rating galaxy simulations against real observations with anomaly detection
Zehao Jin, Andrea V. Macciò, Nicholas Faucher +6
Cosmological galaxy formation simulations are powerful tools to understand the complex processes that govern the formation and evolution of galaxies. However, evaluating the realis…
Sharpening the dark matter signature in gravitational waveforms II: Numerical simulations with the NbodyIMRI code
Bradley J. Kavanagh, Theophanes K. Karydas, Gianfranco Bertone +2
Future gravitational wave observatories can probe dark matter by detecting the dephasing in the waveform of binary black hole mergers induced by dark matter overdensities. Such a d…